Gregory Cooper, MD, PhD

Tumor-specific causal inference discovers distinct disease mechanisms underlying cancer subtypes

Xue Y, Cooper GF, Cai C, Lu S, Hu B, Ma X, Lu X. Tumor-specific causal inference discovers distinct disease mechanisms underlying cancer subtypes. Scientific Reports, (2019) doi:10.1038/s41598-019-48318-7

Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference

Cai C, Cooper GF, Lu KN, Ma X, Xu S, Zhao Z, Chen X, Xue Y, Lee AV, Clark N, Chen V, Lu S, Chen L, Hochheiser HS, Jiang X, Wang QJ, Lu X.  Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLoS Computational Biology. Published online July 5, 2019. doi: 10.137/journal,pcbi.1007088.  PMID: 31276486

Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis

Seymour CW, Kennedy JN, Wang S, Chang CH, Elliott CF, Xu Z, Berry S, Clermont G, Cooper G, Gomez H, Huang DT, Kellum JA, Mi Q, Opal SM, Talisa V, van der Poll T, Visweswaran S, Vodovotz Y, Weiss JC, Yealy DM, Yende S, Angus DC. Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis. Journal of the American Medical Association ( 2019). doi:10.1001/jama.2019.5791. PMID: 31104070 PMCID: PMC6537818

Using machine learning to selectively highlight patient information

King A, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S. Using machine learning to selectively highlight patient information. Journal of Biomedical Informatics.  2019; Oct 29;100:103327. DOI: 1016/j.jbi.2019.103329. 

Instance-Specific Bayesian Network Structure Learning

Jabbari F, Viswewaran S, Cooper GF. Instance-Specific Bayesian Network Structure Learning. Proceedings of the International Conference on Probabilistic Graphical Models (2018) Sep;72:169-180.  PMID: 30775723. PMCID: PMC6376975.

Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inferenc

Cai C, Cooper GF, Lu KN, Ma X, Xu S, Zhao Z, Chen Z, Xue Y, Lee AV, Clark N, Chen V, Lu S, Chen L, Yu L, Hochheiser HS, Jiang X, Wang QJ, Lu X. Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. bioRxiv (2018). doi: http://dx.doi.org/10.1101/329375.

Precision Oncology Beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics

Ding MQ, Chen L, Cooper GF, Young JD, Lu X. Precision Oncology Beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics. Mol Cancer Res. 2018 Feb;16(2):269-278. doi: 10.1158/1541-7786.MCR-17-0378. Epub 2017 Nov 13. PMID: 29133589. PMCID: PMC5821274.

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System

King AJ, Cooper GF, Hochheiser H, Clermont G, Hausrecht M, Visweswaran S. Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA Annual Symp Proc. 2018 Dec 5;2018:673-682. eCollection 2018. PubMed PMID: 30815109. PMCID: PMC6371238.

The design and evaluation of a Bayesian System for detecting and characterizing outbreaks of influenza

Millett NE, Aronis JM, Wagner MM, Tsui F, Ye Y, Ferrar JP, Huag PJ, Gesteland PH, Cooper GF. The design and evaluation of a Bayesian System for detecting and characterizing outbreaks of influenza. Online Journal of Public Health Informatics, 11(2) (2019). Doi: https://doi.org/10.1101/435727.

Scoring Bayesian networks of mixed variables

Andrews B, Ramsey J, Cooper GF. Scoring Bayesian networks of mixed variables. International Journal of Data Science and Analytics (2018) 1-16. First Online 11 January 2018.

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